Publications

CSET produces evidence-driven analysis in a variety of forms, from informative graphics and translations to expert testimony and published reports. Our key areas of inquiry are the foundations of artificial intelligence — such as talent, data and computational power — as well as how AI can be used in cybersecurity and other national security settings. We also do research on the policy tools that can be used to shape AI’s development and use, and on biotechnology.

Report

CSET’s 2024 Annual Report

Center for Security and Emerging Technology
| March 2025

In 2024, CSET continued to deliver impactful, data-driven analysis at the intersection of emerging technology and security policy. Explore our annual report to discover key research highlights, expert testimony, and new analytical tools — all aimed at shaping informed, strategic decisions around AI and emerging tech.

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Read our translation of a Chinese government policy that encourages companies in a vast array of industries to develop AI use cases.

Read our translation of a Chinese government plan for the expansion of 5G telecommunications technology.

Reports

AI Governance at the Frontier

Mina Narayanan, Jessica Ji, Vikram Venkatram, and Ngor Luong
| November 2025

This report presents an analytic approach to help U.S. policymakers deconstruct artificial intelligence governance proposals by identifying their underlying assumptions, which are the foundational elements that facilitate the success of a proposal. By applying the approach to five U.S.-based AI governance proposals from industry, academia, and civil society, as well as state and federal government, this report demonstrates how identifying assumptions can help policymakers make informed, flexible decisions about AI under uncertainty.

Reports

The U.S. Aerial Drone Market

Kyle Miller, Sam Bresnick, Jacob Feldgoise, and Christian Schoeberl
| November 2025

This report assesses the types of unmanned aerial vehicles (UAVs) platforms marketed in the United States and the finances of U.S.-headquartered UAV companies. It finds that most companies develop small UAVs, and only a handful develop more complex military systems. The report also finds that most drone manufacturers are privately held, venture-backed companies, many of which were founded after 2010, and investment activity is concentrated around firms that produce smaller UAVs.

Read our translation of a Chinese draft national standard that proposes safety and security rules for the training and fine-tuning data used to develop generative AI models.

Translation

人工智能控制:如何利用违规人工智能体

Kendrea Beers and Cody Rushing
| November 5, 2025

This is a Chinese translation of the CSET blog post "AI Control: How to Make Use of Misbehaving AI Agents."

Data Snapshot

Mapping Space Debris

Kathleen Curlee and Lauren Kahn
| November 3, 2025

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This data interactive maps each of the over 34,000 pieces of space debris the United States government has tracked since 1958, bringing Earth’s crowded orbits to life. It shows how seven decades of launches, collisions, and anti-satellite tests—and just a few catastrophic events by a handful of countries—have created most of today’s debris, potentially endangering the $1.8 trillion global space economy that depends on unfettered access to orbits.

As artificial intelligence systems are deployed and affect more aspects of daily life, effective risk mitigation becomes imperative to prevent harm. This report analyzes AI incidents to improve our understanding of how risks from AI materialize in practice. By identifying six mechanisms of harm, it sheds light on the different pathways to harm, and on the variety of mitigation strategies needed to address them.

Data Visualization

PATHWISE

October 2025

PATHWISE (Prototype Analytics for Tracking High-Demand Workforce in Innovative Skill Ecosystems) provides policymakers, educators, and analysts with a powerful new way to explore how the United States develops and deploys talent in emerging technology fields.

Read our translation of a Chinese draft standard that proposes rules for generative AI data annotation and data labeling with an eye toward improving the safety and security of GenAI systems.